Group IV alloys have been long viewed as homogeneous random solid solutions since perceiving them as Si-compatible, direct-band gap semiconductors 30 years ago. Such a perception underlies the understanding, interpretation, and prediction of alloys' properties. However, as the race to create scalable and tunable device materials enters a composition domain far beyond the alloys' equilibrium solubility, a fundamental question emerges as to how random these alloys truly are. Here, we show, by combining statistical sampling and large-scale ab initio calculations, that GeSn alloy, a promising group IV alloy for mid-infrared technology, exhibits a clear short-range order for solute atoms within its entire composition range. Such a short-range order is further found to substantially affect the electronic properties of GeSn. We demonstrate that the proper inclusion of this short-range order through canonical sampling can lead to a significant improvement over previous predictions on alloy's band gaps by showing an excellent agreement with experiments within the entire studied composition range. Our finding thus not only calls for an important revision of the current structural model for group IV alloy but also suggests that short-range order may generically exist in different types of alloys.Gold nanoparticles (AuNPs) have become an essential tool for a variety of fields across the biological, physical, and chemical sciences. The characterization of AuNPs by UV-vis spectroscopy is simple and commonly used but remains prone to error because of size and shape polydispersity and uncertainties in the dielectric function. We here propose and demonstrate a method to significantly improve this routine characterization technique by measuring not only the extinction but also the absorption spectrum. https://www.selleckchem.com/products/anacardic-acid.html Specifically, we show that by considering the ratio of the extinction to absorption spectra, denoted η, we are able to determine the volume of AuNPs with a significant increase in accuracy compared to the UV-vis extinction method. We also prove an important property of η it is independent of particle shape within the quasi-static/dipolar approximation, typically for particle sizes up to 100 nm. This shape independence results in very strong constraints for the theoretical predictions to agree with the experiments. We show that the spectral shape of η can therefore be used to discriminate between different proposed data sets for the dielectric function of gold, a long-standing challenge in plasmonics research.Virus-like particles (VLPs) show considerable promise for the in vivo delivery of therapeutic compounds such as bioactive venom peptides. While loading and targeting protocols have been developed for numerous VLP prototypes, induced disassembly under physiological conditions of neutral pH, moderate temperature, and aqueous medium remain a challenge. Here, we implement and evaluate a general mechanism, based on ring-opening metathesis polymerization (ROMP), for controllable VLP disassembly. This mechanism is independent of cell-specific factors or the manipulation of environmental conditions such as pH and temperature that cannot be readily controlled in vivo. The ROMP substrate norbornene is covalently conjugated to surface-exposed lysine residues of a P22 bacteriophage-derived VLP, and ROMP is induced by treatment with the water-soluble ruthenium catalyst AquaMet. Disruption of the P22 shell and release of a GFP reporter is confirmed via native agarose electrophoresis, TEM, and dynamic light scattering (DLS) analyses. Our ROMP disassembly strategy does not depend on the particular structure or morphology of the P22 nanocontainer and is adaptable to other VLP prototypes for the potential delivery of venom peptides for pharmacological applications.Owing to their outstanding catalytic properties, enzymes represent powerful tools for carrying out a wide range of (bio)chemical transformations with high proficiency. In this context, enzymes with high biocatalytic promiscuity are somewhat neglected. Here, we demonstrate that a meticulous modification of a synthetic shell that surrounds an immobilized enzyme possessing broad substrate specificity allows the resulting nanobiocatalyst to be endowed with enantioselective properties while maintaining a high level of substrate promiscuity. Our results show that control of the enzyme nano-environment enables tuning of both substrate specificity and enantioselectivity. Further, we demonstrate that our strategy of enzyme supramolecular engineering allows the enzyme to be endowed with markedly enhanced stability in an organic solvent (i.e., acetonitrile). The versatility of the method was assessed with two additional substrate-promiscuous and structurally different enzymes, for which improvements in enantioselectivity and stability were confirmed. We expect this method to promote the use of supramolecularly engineered promiscuous enzymes in industrially relevant biocatalytic processes.DNA methyltransferase activity is associated with a host of diseases, including cancers, where global hypomethylation of the genome, as well as marked changes in local DNA methylation patterns, can be both diagnostic and prognostic for the disease. Despite this, we currently lack a method for directly measuring the activity of the DNA methyltransferases, which would support the development of DNA methyltransferase-targeted therapies. Here, we demonstrate an assay for the direct measurement of methyltransferase activity, in real time. We employ a fluorescent methyltransferase cofactor analogue, which when bound by the enzyme to a labeled target DNA sequence results in fluorescence resonance energy transfer (FRET) between the donor dye (DNA) and the acceptor dye (cofactor). We demonstrate that the method can be used to monitor the activity of DNA MTases in real time and can be applied to screen inhibitors of the DNA methyltransferases. We show this in both bulk phase and single molecule imaging experiments, highlighting the potential application of the assay in screening and biophysical studies of methyltransferase function.Harvesting energy from moist in the atmosphere has recently been demonstrated as an effective manner for a portable power supply to meet the ever-increasing demands of energy consumption. Porous materials are shown to have great potential in moist-induced electricity generation. Herein, we report moist-induced electricity generation by electrospun cellulose acetate (CA) membranes with optimized porous structures. We show that the pore size and porosity of CA membranes can be readily tuned via a facile compression and annealing process, and the effect of pore features on the output voltages can thus be investigated systematically. We find that, at a relatively high porosity, the electricity-generation performance can be further enhanced by constructing a smaller pore to form more nanochannels. Porous CA membranes, with an optimized porosity of 52.6% and a pore diameter less than 250 nm, are prepared to construct moist-induced electricity generators, which can be applied as breath sensors and can power up calculator operation.